Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)

Vehicle Target Detection Based on Improved Mixed Gaussian Modeling

Authors
Caiyun Xie, Ruxia Hong, Jing Wang, Hong Yu
Corresponding Author
Caiyun Xie
Available Online February 2018.
DOI
https://doi.org/10.2991/csece-18.2018.42How to use a DOI?
Keywords
gaussian modeling; video speed; vehicle target detection component
Abstract
In the modern world, with the rapid development of science and technology, computer and related technologies have been used in many fields; of course, intelligent video surveillance system cannot do without computer technology. This system also cannot do without the core issue: the detection of the goal vehicle. Only the smooth detection of moving vehicles can complete the intelligent video surveillance system speed. This paper mainly introduces several methods of vehicle target detection, and provides the advantages and disadvantages of every method, and improves the traditional mixed Gaussian modeling method. The steps required to complete this method are introduced in detail.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
February 2018
ISBN
978-94-6252-487-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/csece-18.2018.42How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Caiyun Xie
AU  - Ruxia Hong
AU  - Jing Wang
AU  - Hong Yu
PY  - 2018/02
DA  - 2018/02
TI  - Vehicle Target Detection Based on Improved Mixed Gaussian Modeling
PB  - Atlantis Press
SP  - 196
EP  - 199
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.42
DO  - https://doi.org/10.2991/csece-18.2018.42
ID  - Xie2018/02
ER  -